Sharpness-aware Minimization for Worst Case Optimization. - Taero Kim; Sungjun Lim 002; Kyungwoo Song (CoRR, 2022)

Flat Posterior Does Matter For Bayesian Transfer Learning. - Sungjun Lim 002; Jeyoon Yeom; Sooyon Kim; Hoyoon Byun; Jinho Kang; Yohan Jung; Jiyoung Jung; Kyungwoo Song (CoRR, 2024)

Language model-guided student performance prediction with multimodal auxiliary information. - Changdae Oh; Minhoi Park; Sungjun Lim 002; Kyungwoo Song (Expert Syst. Appl., 2024)

Uncertainty-Aware Contrastive Decoding. - Hakyung Lee; Subeen Park; Joowang Kim; Sungjun Lim 002; Kyungwoo Song (ACL (Findings), 2025)

Sufficient Invariant Learning for Distribution Shift. - Taero Kim; Subeen Park; Sungjun Lim 002; Yonghan Jung; Krikamol Muandet; Kyungwoo Song (CVPR, 2025)

Brain-inspired Lp-Convolution benefits large kernels and aligns better with visual cortex. - Jea Kwon; Sungjun Lim 002; Kyungwoo Song; C. Justin Lee (ICLR, 2025)

Flat Posterior Does Matter For Bayesian Model Averaging. - Sungjun Lim 002; Jeyoon Yeom; Sooyon Kim; Hoyoon Byun; Jinho Kang; Yohan Jung; Jiyoung Jung; Kyungwoo Song (UAI, 2025)

Robust optimization for PPG-based blood pressure estimation. - Sungjun Lim 002; Taero Kim; Hyeonjeong Lee; Yewon Kim; Minhoi Park; Kwang-Yong Kim; Minseong Kim; Kyu Hyung Kim; Jiyoung Jung; Kyungwoo Song (Biomed. Signal Process. Control., 2025)

GFML: Gravity function for metric learning. - Hoyoon Byun; Sungjun Lim 002; Kyungwoo Song (Eng. Appl. Artif. Intell., 2025)

COVID-19 prediction with doubly multi-task Gaussian Process. - Sooyon Kim; Yongtaek Lim; Sungjun Lim 002; Gyeongdeok Seo; Jihee Kim; Hojun Park; Jaehun Jung; Kyungwoo Song (J. Biomed. Informatics, 2025)

Uncertainty-driven Embedding Convolution. - Sungjun Lim 002; Kangjun Noh; Youngjun Choi; Heeyoung Lee; Kyungwoo Song (CoRR, 2025)